Non-Linear Measures of Movement Variability in Multiple Sclerosis: A Clinical Narrative Review of Lyapunov Exponent and Entropy Applications in Balance and Gait - Takeaways - MDSpire

Non-Linear Measures of Movement Variability in Multiple Sclerosis: A Clinical Narrative Review of Lyapunov Exponent and Entropy Applications in Balance and Gait

  • By

  • Banakheiri, Tina

  • Panisset, Maya G.

  • Galea, Mary P.

  • Cofré Lizama, L. Eduardo

  • May 12, 2026

  • 0 min

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  • 1

    Human movement variability is crucial for healthy biological systems and its alteration indicates neurological dysfunction.

  • 2

    Non-linear measures capture complex movement variability patterns that traditional linear metrics may overlook.

  • 3

    These methods assess stability, adaptability, and predictability of movement, offering insights into neuromuscular function.

  • 4

    In multiple sclerosis, changes in movement patterns can signal early dysfunction and inform targeted interventions.

  • 5

    This review discusses non-linear measures' clinical utility in detecting changes, monitoring progression, and evaluating treatments in MS.

Original Source(s)

Non-Linear Measures of Movement Variability in Multiple Sclerosis: A Clinical Narrative Review of Lyapunov Exponent and Entropy Applications in Balance and Gait

  • by Banakheiri, Tina , Panisset, Maya G., Galea, Mary P., Cofré Lizama, L. Eduardo

  • May 12, 2026

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